Face Identification and Verification using Hidden Markov Model with Maximum Score Approach

Upadhyay, Aditi; Sharma, Sudhir Kumar; Upadhyay, Shrikant

doi:10.17485/ijst/2017/v10i47/118095

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…al. [18] utilizes a framework of a 5G network with high bandwidth, and low latency, function to identify a person infected with COVID-19 using CT-scan or X-ray images.…”

Section: Related Workmentioning

confidence: 99%

“…2. where the mixed data packets are created using various sensors placed on the patient's body that reached randomly to the gateway of the network using the Poisson procedure and it has been observed that Poisson distribution fit well to approximate the reached patterns of data packets for healthcare [20][21][22]. From above Fig.…”

Section: Quality Improvement and Modeling Of Systemmentioning

confidence: 99%

“…The sustainable healthcare system enables accurate medicine to patients by integrating DNA datasets of clinical tests and health level 7. It also helps in tracking blood glucose of a person suffering for diabetes [34][35][36]. Balancing of nutrients is important and it customized the plan of food for patients recommended by physicians.…”

Section: Sustainability and Need For Applicationmentioning

confidence: 99%

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IoT Enabled Sustainable Health Monitoring System using Scheduling Approach and Priority Validation for Smart Healthcare Enhancement

Upadhyay,

Kumar,

Upadhyay

et al. 2024

Preprint

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In this article, we propose a health tracking system designed to aid patients and doctors within a hospital campus. We primarily focus on efficiency, trust ability and scalability of the healthcare system. In previous studies, scheduling methods such as shortest task first and first-come, first-served have been commonly assumed for IoT-dependent healthcare systems. However, these approaches have limitations when it comes to accommodating a wide range of requests and efficiently handling high-demand situations. Specifically, the inclusion of short procedures in such scheduling methods can result in prolonged task completion durations and poor performance in overloaded scenarios. To deal with such challenges we proposed an analytical framework of scheduling that offers service differentiation concerning delay-sensitive, tolerant packets and packet length for a short packet being transferred before long packets. The performance of the prioritized method has been compared with the existing scheduling approaches in terms of packet loss, latency tolerance, packet threshold, mean turndown etc. to analyze its sustainability. Also, the proposed model is analyzed using two existing protocols with different simulation parameters to aiming to identify the most suitable protocol for better management of the health monitoring system.

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“…al. [18] utilizes a framework of a 5G network with high bandwidth, and low latency, function to identify a person infected with COVID-19 using CT-scan or X-ray images.…”

Section: Related Workmentioning

confidence: 99%

Section: Quality Improvement and Modeling Of Systemmentioning

confidence: 99%

Section: Sustainability and Need For Applicationmentioning

confidence: 99%

See 1 more Smart Citation

IoT Enabled Sustainable Health Monitoring System using Scheduling Approach and Priority Validation for Smart Healthcare Enhancement

Upadhyay,

Kumar,

Upadhyay

et al. 2024

Preprint

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“…A standardized and common model for the upcoming head-to-foot IoT healthcare structure is suggested to guide the evolution of such a system. Various explanations of IoT exist; at the most basic level, it can be described as a network of individual devices interrelated via machine-to-machine transmission, allowing for the collection and interchanging of information [66][67][68]. Such mechanics can be applied in a wide range of industries, enabling the collection of large amounts of data.…”

Section: Internet Of Things and Health Carementioning

confidence: 99%

Challenges and Limitation Analysis of an IoT-Dependent System for Deployment in Smart Healthcare Using Communication Standards Features

Upadhyay¹,

Kumar

Upadhyay

et al. 2023

Sensors

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The use of IoT technology is rapidly increasing in healthcare development and smart healthcare system for fitness programs, monitoring, data analysis, etc. To improve the efficiency of monitoring, various studies have been conducted in this field to achieve improved precision. The architecture proposed herein is based on IoT integrated with a cloud system in which power absorption and accuracy are major concerns. We discuss and analyze development in this domain to improve the performance of IoT systems related to health care. Standards of communication for IoT data transmission and reception can help to understand the exact power absorption in different devices to achieve improved performance for healthcare development. We also systematically analyze the use of IoT in healthcare systems using cloud features, as well as the performance and limitations of IoT in this field. Furthermore, we discuss the design of an IoT system for efficient monitoring of various healthcare issues in elderly people and limitations of an existing system in terms of resources, power absorption and security when implemented in different devices as per requirements. Blood pressure and heartbeat monitoring in pregnant women are examples of high-intensity applications of NB-IoT (narrowband IoT), technology that supports widespread communication with a very low data cost and minimum processing complexity and battery lifespan. This article also focuses on analysis of the performance of narrowband IoT in terms of delay and throughput using single- and multinode approaches. We performed analysis using the message queuing telemetry transport protocol (MQTTP), which was found to be efficient compared to the limited application protocol (LAP) in sending information from sensors.

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“…Face recognition techniques have evolved over the years from measuring distances from marker points on the faces [6], using principal component analysis (PCA) to identify faces [7], comparing faces as labelled graphs [8], using hidden markov models [9], using the geometrical features of face [10], using templates such as the eyes, nose, mouth, and the whole face [11], to even 3D morphable models [12].…”

Section: Introductionmentioning

confidence: 99%

Deduplication of Identities Using Similarity Search in a Scalable Vector Database

Surana,

Dhawan,

Gunjal

et al. 2024

Preprint

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Face Identification and Verification using Hidden Markov Model with Maximum Score Approach

Cited by 6 publications

References 4 publications

IoT Enabled Sustainable Health Monitoring System using Scheduling Approach and Priority Validation for Smart Healthcare Enhancement

IoT Enabled Sustainable Health Monitoring System using Scheduling Approach and Priority Validation for Smart Healthcare Enhancement

Challenges and Limitation Analysis of an IoT-Dependent System for Deployment in Smart Healthcare Using Communication Standards Features

Deduplication of Identities Using Similarity Search in a Scalable Vector Database

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